Reza Rawassizadeh
Associate Professor of Computer Science;
Coordinator of AI and Machine Learning
- Title Associate Professor of Computer Science;
Coordinator of AI and Machine Learning - Office 1010 Commonwealth Avenue, 3rd Floor, 320
- Email rezar@bu.edu
- Education Ph.D. University of Vienna
M.S. Vienna University of Technology
B.S. Tehran Azad University
Reza Rawassizadeh holds a Ph.D. of Computer Science from University of Vienna, a Master’s degree from the Vienna University of Technology, and a Bachelor’s degree from Tehran Azad University (Central Branch).
His research interest focuses on ubiquitous technologies including wearables, mobile devices and robots. He has made notable contributions in designing resource efficient, on-device machine learning algorithms to operate on small battery-powered devices such as smartwatches or fitness trackers, without any network requirement.
For several AI-based companies, he serves as the senior or chief scientific advisor.
Reza’s personal homepage is available under this link: https://sites.google.com/view/rezar
Research Interests
- On-device machine learning and artificial intelligence
- Ubiquitous, mobile and wearable computing
- Digital health
- AI Democratization
Scholarly Works
Selected Recent Publications
- Mahapatra, S., Zhou, Z., Khedri, K., Hosseinzadeh, M., & Rawassizadeh, R. (2026). Gradient Under Microscope: Benchmarking Resource Utilization of Memory-Efficient Gradient Computation Methods. arXiv preprint arXiv:2608.08961.
- Sharma, T. & Rawassizadeh, R. (2026). NeuroViz: Real-time Interactive Visualization of Forward and Backward Passes in Neural Network Training. arXiv preprint arXiv:2605.02044.
- Monfared, V., Rawassizadeh, R. (2026). Small but Specialized: A Domain-Adapted Retrieval-Augmented LLM Outperforms Frontier Generalists in Pediatric and Adolescent Gynecology. medRxiv 2026.07.22.26358688
- Monfared, V., Gharib, M. H., Sabri, A., Shahali, M., Rashidi, F., Mehta, A., & Rawassizadeh, R. (2026). Interpretable Prostate Cancer Detection using a Small Cohort of MRI Images. arXiv preprint arXiv:2603.18460.
- Wen, Q., Kochhar, P., Zeyada, S., Javaheri, T., & Rawassizadeh, R. (2026). From Clicks to Conversations: Evaluating the Effectiveness of Conversational Agents in Statistical Analysis. International Journal of Human–Computer Interaction, 42(11), 7832–7849.
- Wen, Q., Zeng, X., Zihan, Z., Shuaijin, L., Hosseinzadeh, M., & Rawassizadeh, R. (2025). GradES: Significantly Faster Training in Transformers with Gradient-Based Early Stopping. https://arxiv.org/abs/2509.01842
- Wang, H, Hosseinzadeh, M., & Rawassizadeh, R. (2025). TinyMusician: On-Device Music Generation with Knowledge Distillation and Mixed Precision Quantization. https://arxiv.org/abs/2509.00914
- Tian, Z., Kumar, A. P. K., Krishnakumar, H., & Rawassizadeh, R. (2025). Attentions Under the Microscope: A Comparative Study of Resource Utilization for Variants of Self-Attention. arXiv preprint arXiv:2507.07247.
- Ejimuda, C. U., Longhitano, G., & Rawassizadeh, R. (2025). Analyzing the Resource Utilization of Lambda Functions on Mobile Devices: Case Studies on Kotlin and Swift. IEEE Pervasive Computing 24.2 (2025): 48-51.
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